class_docstr: Adds TensorFlow specific functions.
docstr: Evaluate the model given input `X`.
  
  Feed 2d `numpy.ndarray` through model and receive output as
  2d `numpy.ndarray`.
docstr_tok: ["Evaluate","the","model","given","input","`","X","`",".","Feed","2d","`","numpy.ndarray","`","through","model","and","receive","output","as","2d","`","numpy.ndarray","`","."]
code: def evaluate(self, X):
      """
      Evaluate the model given input `X`.
  
      Feed 2d `numpy.ndarray` through model and receive output as
      2d `numpy.ndarray`.
      """
      Y_pred = self.predictor_model(X, training=False)
      Y_pred = Y_pred.numpy()
      return Y_pred
  
file_path: fairlearn/fairlearn/adversarial/_tensorflow_engine.py
imports: from ._backend_engine import BackendEngine
  from numpy import finfo, float32
label_desc: Use image node_id 2 for calling the TensorflowEngine obj's underlying member method code with example usage: obj.evaluate(X) and returns: Y_pred